Table 1 The four climate products used... | Emerald Publishing

Table 1

The four climate products used in the study

Product name	Acronym	No. of members	References	Source	Period	Climate scenario	Spatial resolution	Temporal resolution	Grid squares used	Method	Uncertainty sampled
Hadley Centre Regional Climate Model HadRM3 PPE	RCM	11	Murphy et al. (2010)	The UK Met Office Hadley Centre	1950–2099	Historical and medium (SRES A1B) emissions scenario	25 km grid	Daily	3	Dynamic downscaling of a GCM with simplified ocean model	Regional atmospheric and land processes; different GCM boundary conditions
Spatially Coherent Projections of UKCP09	SCP	11	Sexton et al. (2010)	Similar to UKCP09	Time slices of 2020s–2080s	4 SRES scenarios	25 km grid	Absolute daily values/monthly change factors	3	Linear scaling of the RCM data based on the changes in global temperature from the GCM results	Global temperature changes from emission scenario, carbon cycle, sulfur cycle and ocean physics
FF Project – Statistically Downscaled HadRM3	FF	11	Prudhomme et al. (2012)	The Centre for Ecology and Hydrology	1950–2069	Historical and medium (SRES A1B) emission scenario	1 km grid	Daily	29	Statistically downscaled RCM data based on historical 1 km gridded data	Same as RCM’s, bias corrected to a local spatial scale
UK Climate Projections 2009 (Land Projections)	UKCP09	10 000	Murphy et al. (2010)	The UK Met Office, UK Climate Impacts Programme, British Atmospheric Data Centre, University of East Anglia, Newcastle University	Time slices of 2020s–2080s	4 SRES scenarios	25 km grid	Absolute/monthly change factor to be applied on the historical 1961–1990 baseline	1	Bayesian statistical framework drawing from ensembles of Met Office climate models and other GCMs	Structural uncertainty using alternative climate models; emission scenarios; the carbon cycle, sulfur cycle and ocean physics

Product name	Acronym	No. of members	References	Source	Period	Climate scenario	Spatial resolution	Temporal resolution	Grid squares used	Method	Uncertainty sampled
Hadley Centre Regional Climate Model HadRM3 PPE	RCM	11	Murphy et al. (2010)	The UK Met Office Hadley Centre	1950–2099	Historical and medium (SRES A1B) emissions scenario	25 km grid	Daily	3	Dynamic downscaling of a GCM with simplified ocean model	Regional atmospheric and land processes; different GCM boundary conditions
Spatially Coherent Projections of UKCP09	SCP	11	Sexton et al. (2010)	Similar to UKCP09	Time slices of 2020s–2080s	4 SRES scenarios	25 km grid	Absolute daily values/monthly change factors	3	Linear scaling of the RCM data based on the changes in global temperature from the GCM results	Global temperature changes from emission scenario, carbon cycle, sulfur cycle and ocean physics
FF Project – Statistically Downscaled HadRM3	FF	11	Prudhomme et al. (2012)	The Centre for Ecology and Hydrology	1950–2069	Historical and medium (SRES A1B) emission scenario	1 km grid	Daily	29	Statistically downscaled RCM data based on historical 1 km gridded data	Same as RCM’s, bias corrected to a local spatial scale
UK Climate Projections 2009 (Land Projections)	UKCP09	10 000	Murphy et al. (2010)	The UK Met Office, UK Climate Impacts Programme, British Atmospheric Data Centre, University of East Anglia, Newcastle University	Time slices of 2020s–2080s	4 SRES scenarios	25 km grid	Absolute/monthly change factor to be applied on the historical 1961–1990 baseline	1	Bayesian statistical framework drawing from ensembles of Met Office climate models and other GCMs	Structural uncertainty using alternative climate models; emission scenarios; the carbon cycle, sulfur cycle and ocean physics

SRES, The Intergovernmental Panel on Climate Change’s Special Report on Emission Scenarios